Early prediction of mortality and morbidities in VLBW preterm neonates using machine learning.

Abstract

Authors

• Chi-Hung Shu
  Department of Anesthesiology, Pain, and Perioperative Medicine, Stanford University School of Medicine, Stanford, CA, USA.
• Rema Zebda
  Department of Pediatrics and Neonatology, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA.
• Camilo Espinosa
  Department of Anesthesiology, Pain and Perioperative Medicine, Stanford University, Stanford, California, USA.
• Jonathan Reiss
  Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA.
• Anne Debuyserie
  Department of Pediatrics and Neonatology, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA.
• Kristina Reber
  Department of Pediatrics and Neonatology, Texas Children's Hospital, Baylor College of Medicine, Houston, TX, USA.
• Nima Aghaeepour
  Departments of Anesthesiology, Pain, and Peri-operative Medicine and Biomedical Data Sciences, Stanford University, Stanford, CA, USA.
• Mohan Pammi
  Section of Neonatology, Department of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA. mohanv@bcm.edu.

Keywords

External Resources